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Dual Effect for Multi-Agent Stochastic Input-Output Systems

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Book cover Stochastic Multi-Stage Optimization

Part of the book series: Probability Theory and Stochastic Modelling ((PTSM,volume 75))

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Abstract

In stochastic optimal control, a key issue is that “solutions” are searched for in terms of “closed-loop control laws” over available information and, as a consequence, a major potential difficulty is the fact that present control may affect future available information.This is known as the “dual effect” of control, and has been discussed in Sects. 1.1.3, 1.2.1, 1.3.2 and 4.2.3. Following (K. Barty et al. Annals of Operation Research, 142(1):41-62, February 2006, [13]), we will characterize the maximal set of closed-loop control laws containing open-loop laws and for which the information provided by observations closed with such a feedback remains fixed.

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Notes

  1. 1.

    For instance, take for \( \zeta _{\alpha }\) any mapping of the class of for .

  2. 2.

    In fact, we use a slight variation of Lemma 10.24. Indeed is a weaker assumption than However, thanks to (10.17), the proof of Lemma 10.24 can easily be adapted to obtain the same conclusion.

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Correspondence to Pierre Carpentier .

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Carpentier, P., Chancelier, JP., Cohen, G., De Lara, M. (2015). Dual Effect for Multi-Agent Stochastic Input-Output Systems. In: Stochastic Multi-Stage Optimization. Probability Theory and Stochastic Modelling, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-319-18138-7_10

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